Results 31 to 40 of about 45,417 (317)

Auditory Display of Fluorescence Image Data in an In Vivo Tumor Model

Diagnostics, 2022
Objectives: This research aims to apply an auditory display for tumor imaging using fluorescence data, discuss its feasibility for in vivo tumor evaluation, and check its potential for assisting enhanced cancer perception.
Sheen-Woo Lee, Sang Hoon Lee, Zhen Cheng, Woon Seung Yeo   +3 more
doaj   +1 more source

A Spatial-Temporal Attention-Based U-Net for Crop Mapping from Time-Series Sentinel-2 Imagery: A Case in Sanjiang Plain

Remote Sensing
Food security is a growing global concern, and accurate crop mapping in major grain-producing regions like China’s Sanjiang Plain—which contributes approximately 7% of national grain output—is essential for agricultural resource management. However, crop
Enyu Zhao, Wei Zhang, Yulei Wang, Hao Zhang, Hang Zhao   +4 more
doaj   +1 more source

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]

, 2012
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader, Jocelyn Chanussot, Qian Du, Gader, Paul, Antonio Plaza, José M. Bioucas-dias, Chanussot, Jocelyn, Dobigeon, Nicolas, Plaza, Antonio, Du, Qian, Mario Parente, Bioucas-Dias, José M., Nicolas Dobigeon, Parente, Mario   +13 more
core   +1 more source

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao, Yongfang Su, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +5 more
doaj   +1 more source

Enhancing hyperspectral image unmixing with spatial correlations [PDF]

, 2010
This paper describes a new algorithm for hyperspectral image unmixing. Most unmixing algorithms proposed in the literature do not take into account the possible spatial correlations between the pixels.
Jean-Yves Tourneret, Eches, Olivier, Olivier Eches, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +5 more
core   +1 more source

TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention

International Journal of Applied Earth Observations and Geoinformation
Thermal infrared hyperspectral images (TIR-HSIs) provide unique spectral insights that are often unattainable with visible imagery, making them invaluable for applications such as land cover classification and geological mapping.
Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +4 more
doaj   +1 more source

Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]

, 2013
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid, Hero, Alfred O, Jean-yves Tourneret, Cédric Richard, Hero, Alfred O., Dobigeon, Nicolas, McLaughlin, Steve, Bermudez, José Carlos M., Alfred O. Hero, Stephen Mclaughlin, Bermudez, José Carlos Moreira, Nicolas Dobigeon, Richard, Cédric, Tourneret, Jean-Yves, José Carlos M. Bermudez, Bermudez, José Carlos M   +14 more
core   +1 more source

Hyperspectral estimation of chlorophyll content in jujube leaves: integration of derivative processing techniques and dimensionality reduction algorithms

Frontiers in Plant Science, 2023
The leaf chlorophyll content (LCC) of vegetation is closely related to photosynthetic efficiency and biological activity. Jujube (Ziziphus jujuba Mill.) is a traditional economic forest tree species.
Nigela Tuerxun, Nigela Tuerxun, Jianghua Zheng, Jianghua Zheng, Renjun Wang, Renjun Wang, Lei Wang, Liang Liu, Liang Liu   +8 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Fusion of UAV hyperspectral and satellite multispectral data for quasi-hyperspectral data simulation and wetland land cover classification

Geo-spatial Information Science
Accurate wetland classification demands high spectral detail and large-area coverage – capabilities that neither satellite multispectral data (limited spectral resolution) nor unmanned aerial vehicle (UAV) hyperspectral data (limited spatial coverage ...
Cong Shen, Yaqin Fang, Shaoyi Wang, Zixiao Liu, Xiaobin Cai, Zhiwei Ouyang, Liqiao Tian   +6 more
doaj   +1 more source